vLLM 0.33 release notes drop CUDA 12.9 builds and remove draft-slot reservation for DFlash/DSpark speculative decoding
Posted Nov 2 with 927 commits, the notes move vLLM to PyTorch 2.14 with CUDA 13.0-only wheels and images, and say DFlash/DSpark drafters no longer reserve token-budget slots, lifting DeepSeek-V4.1-Flash on GB300 from 1,373 to 3,390 output tok/s in the PR's own benchmark. The GitHub tag is still v0.33.0rc3, and Medusa, the MLP speculator and the Ray compiled-graph executor are removed, so check your setup before upgrading.